In this article we will try out linear regression on Boston data set. As we go forward in the course, we shall include more complexities. As a first step, let us check for outliers and high leverage points. dt %>% pivot_longer(cols = c(1:14)) %>% ggplot(aes(x=value))+ geom_boxplot()+ facet_wrap(~name) It looks …

Linear regression is a very simple method of supervised learning. despite widespread use of advanced models it remains one of the most widely used method. In fact many advanced methods are extensions of linear methods. It is extremely important that a data scientist understands linear regression in all aspects. Linear …